TauricResearch/TradingAgents
TradingAgents: Multi-Agents LLM Financial Trading Framework
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Momentum
+2.7K
STARS · LAST 30 DAYS
92
PER DAY
#20
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +658 | +2.7K | +8.3K |
| Per day | 94 | 92 | 92 |
| Forks gained | +158 | +422 | +1.1K |
TradingAgents gained 2.7K stars in the last 30 days, about 92 a day, and now has 109.8K. It is about 2 years old and has averaged roughly 54.9K stars a year. It ranks #20 among Python repositories and #74 across all languages on GitHubRepo.
Trending Record
13
DAYS ON TRENDING
#33
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
TradingAgents has maintained a continuous presence across global trending indexes, peaking at #33. Below is the 30-day activity profile:
💡 Overview
TradingAgents is an open-source project written in Python: TradingAgents: Multi-Agents LLM Financial Trading Framework.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, finance, llm. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install TradingAgents
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
TradingAgents coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with TradingAgents.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install TradingAgents using your package manager: `pip install TradingAgents`
Initialize your project workspace or configuration file for TradingAgents.
Import TradingAgents into your codebase or invoke it directly from your terminal.
Execute your test suite or run `TradingAgents --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
TauricResearch/TradingAgents is currently ranked #74 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #73 | openai/whisper | Python | ★ 109.8K | Compare ↗ |
| #74 | TauricResearch/TradingAgents This Project | Python | ★ 109.8K | |
| #75 | fatedier/frp | Go | ★ 109.7K | Compare ↗ |
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Frequently Asked Questions
What does TradingAgents do? +
TradingAgents: Multi-Agents LLM Financial Trading Framework
What language is TradingAgents written in? +
The primary language is Python. Topics include: agent, finance, llm, multiagent, trading.
Is TradingAgents actively maintained? +
Yes, the last recorded push was on Oct 3, 2026 with 86 open issues being tracked.
How many stars does TradingAgents have? +
TradingAgents has 109,826 stars and 21,114 forks on GitHub.
How does TradingAgents rank among GitHub repositories? +
With 109,826 stars, TauricResearch/TradingAgents is ranked #74 globally across all repositories tracked on GitHubRepo and #20 among Python projects.
What license is TradingAgents distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.